





Tier-1 brand, generalist Technical Scrum Master title, and Bangalore metro increase candidate competition.
Technical agile and AWS/data skills transfer across industries, but insurance/regulatory preference raises fit sensitivity moderately.
Explicit 8–10 years, required 4-year Scrum Master experience, and AWS/data fluency make shortlisting stringent.
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Lead agile delivery and sprint planning for an AWS-centric engineering pod involving policy, data engineering, API, and DevSecOps.
Manage technical dependencies, impediments, and ensure predictable releases across the AWS S3, Lambda, SQS, Aurora, and API stack.
Translate technical progress into business status, coordinate multiple engineering disciplines, and maintain delivery transparency and reporting.
8–10 years of technology delivery experience, with at least 4 years as a Scrum Master or agile delivery lead in data, cloud, integration, or application modernization.
Strong knowledge of Scrum/Kanban practices and experience managing multidisciplinary engineering teams including cloud data pipelines, APIs/microservices, database engineering, DevSecOps, automation testing.
Practical understanding of AWS services (S3, Lambda, SQS, EventBridge, Aurora PostgreSQL, API Gateway, IAM, CloudWatch, CI/CD, infrastructure as code).
Experience with Jira and Confluence or equivalent agile tools; Scrum certifications (CSM, PSM, SAFe Scrum Master, or PMI-ACP) preferred. Work Experience Required: 8–10 years as stated.
Experience coordinating cross-functional agile teams spanning cloud data, API, DevSecOps, and quality assurance, indicating advanced operational collaboration skills.
Comfortable challenging technical plans and surfacing delivery risks within complex AWS-based engineering environments.
Experience or familiarity with insurance, policy administration, operational data stores, or regulated financial services programs is a strong advantage.